Guest editorial: Venture capital and green finance for sustainable development
Notice bibliographique
Résumé
China Finance Review International has this special issue dedicated to "venture capital and green finance for sustainable development".Nowadays, ESG, green finance and venture capital have been hot topics for many academic journal publications.Thus, there is a large body of knowledge on these topics, and there is strong competition for high-quality paper submissions.This special issue has received several submissions, and after a rigorous peer review process, a collection of eight papers have been selected for publication, including one survey paper, two papers on venture capital and five empirical papers, with authors from the UK, Canada, China and Thailand.This issue contributes to this large body of knowledge in several aspects.Firstly, a paper presents an excellent overview of the vast literature on ESG.Paper #1 "A survey on ESG: investors, institutions and firms" provides an overview of the academic literature on ESG through the perspectives of investors, institutions and firms.It describes how ESG is measured and notes problems with the measurement of and quality of ESG data and discrepancies between different measures of ESG.Secondly, five papers present studies of ESG and green finance in the China and Asia context.Paper #2 "Shaping corporate ESG performance: role of social trust in China's capital market" expands the comprehension of the determinants of ESG and underscores the influential role of social trust as an informal institution in enhancing a firm's ESG performance.Paper #3 "Environmental, social and governance (ESG) -augmented investments in innovation and firms' value: a fixed-effects panel regression of Asian economies" shows that innovation is advantageous to the firms' market value, by decomposing innovation into traditional innovation and environmental innovation.Paper #4 "The impact of China's green credit policy on enterprise digital innovation: evidence from heavily-polluting Chinese listed companies" provides empirical evidence to understand the effectiveness and mechanism of influence of green credit policies on enterprise digital innovation, also providing a basis to further improve green credit policies.The paper shows that the implementation of green credit policies has a negative impact on digital innovation by increasing the financing constraints faced by firms and has also a crowding-out effect on R&D investment, resulting in a disincentive to digital innovation.Paper #5 "The deterrent effect of central environmental protection inspection: evidence from Chinese listed companies" takes the central environmental protection inspection (CEPI) as an exogenous shock to study the reaction of the stock market in China.This paper shows that polluting firms in the supervised provinces were negatively impacted by the CEPI within 20 trading days of the event day, and its effects spread to the polluting firms in the neighboring provinces.Paper #6 "The environmental externality of economic growth target pressure: evidence from China" sheds light on to what extent economic growth target pressure has a negative externality of pollution in China and how this pressure may conflict with environmental protection.Thirdly, two papers contribute to cross-disciplinary studies on the topics of venture capital.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,006 | 0,003 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,006 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,027 | 0,010 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».